Baby brain age predicting method based on resting state functional magnetic resonance image and system

A technology of functional magnetic resonance and prediction methods, which is applied in the field of computer medicine, can solve problems such as the inability to predict the brain age of infants with functional magnetic resonance images, and achieve the effects of assisting clinical decision-making, high practicability, and accurate detection results

Active Publication Date: 2019-08-06
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, the problem that the brain age of infants cannot be predicted based on functional magnetic resonance image

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  • Baby brain age predicting method based on resting state functional magnetic resonance image and system
  • Baby brain age predicting method based on resting state functional magnetic resonance image and system
  • Baby brain age predicting method based on resting state functional magnetic resonance image and system

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Embodiment Construction

[0040]The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0041] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0042] The present invention provides a method for predicting infant brain age based on resting-state functional magnetic resonance images, based on functional magnetic resonance imaging (fMRI, functional Magnetic Resonance Imaging) scanned for infants, training is based on graph conv...

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Abstract

The invention belongs to the field of computer medicine, and particularly relates to a baby brain age predicting method based on a resting state functional magnetic resonance image and a system. The method and the system aim to settle a problem of incapability of predicting the baby brain age based on the functional magnetic resonance image based on dynamic function connection. The method according to the invention comprises the steps of acquiring a functional magnetic resonance image set of a measured object; performing brain area segmenting on each image, and performing characteristic dimension reduction on each brain area; based on the functional magnetic resonance image set after dimension reduction and a time sequence, constructing a brain area-time sequence characteristic matrix; constructing a dynamic function connecting matrix based on the brain area-time sequence characteristic matrix; and performing brain age predicting through a pre-trained classification model. The method and the system quickly and conveniently realize functional magnetic resonance image brain age predicting based on the dynamic function connection through a computer means, thereby quickly determining whether the brain growth degree of the baby matches an actual age, finding a possible brain retardation in time, and facilitating assistance to clinical decision of a doctor.

Description

technical field [0001] The invention belongs to the field of computer medicine, and in particular relates to a method and system for predicting infant brain age based on resting state functional magnetic resonance images. Background technique [0002] Autism is a common disease caused by brain development disorders. Its symptoms are manifested as abnormal social skills, communication skills, interests and behavior patterns. It is a major problem that threatens the health of children and adolescents. Studies have shown that timely detection and intervention are of great help in the treatment of autism. However, due to the weak communication and comprehension ability of infants and young children, it is difficult to detect their early symptoms in time through direct communication. Generally speaking, the symptoms of autism cannot be manifested until after the age of three. Therefore, it is important to accurately evaluate the developmental stages of the brains of early infant...

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Application Information

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IPC IPC(8): G16H50/20G16H50/50G06T7/00G06T7/11A61B5/055
CPCA61B5/055G06T7/0012G06T7/11G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30016G16H50/20G16H50/50
Inventor 隋婧燕卫政
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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